Noometry

Model comparison

DeepSeek V4.1 Flash vs Qwen3 Coder Next

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 33.8 on the Noometry Index.

Last verified . 2 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Qwen3 Coder Next Alibaba (Qwen)

33.8

Rank #229 Reported

Summary

  • They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 2 categories and Qwen3 Coder Next in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 21.7.
  • The biggest single-benchmark swing is SciCode: 51.9% for DeepSeek V4.1 Flash and 32.3% for Qwen3 Coder Next.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashQwen3 Coder Next
ProviderDeepSeekAlibaba (Qwen)
Noometry Index50.333.8
Released2026-09-092026-02-02
WeightsOpenOpen
Context window1M262K
Max output393K66K
Input $ / M tokens$0.15$0.12
Output $ / M tokens$0.60$0.80
Results tracked253

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Qwen3 Coder Next: 35.8 (#206)

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
SciCode51.9%32.3%
LMArena WebDev1620—
WeirdML—34.4%
LMArena Coding1511—
ALE-Bench1,092—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Qwen3 Coder Next: 21.7 (#191)

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
CritPt14.3%0%
NYT Connections (extended)89.6%—
LMArena Hard Prompts1485—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index155.01—

Math Not comparable

DeepSeek V4.1 Flash: 48.4 (#52), Qwen3 Coder Next: —

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
ProofBench54%—
LMArena Math1493—

Knowledge Not comparable

DeepSeek V4.1 Flash: 41.6 (#97), Qwen3 Coder Next: —

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
LMArena Expert1505—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.5 (#29), Qwen3 Coder Next: —

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
LMArena Non-English1452—
LMArena Chinese1506—
LMArena French1448—
LMArena Russian1473—
LMArena Spanish1499—

Instruction Following Not comparable

DeepSeek V4.1 Flash: 77.6 (#24), Qwen3 Coder Next: —

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
LMArena Instruction Following1475—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#46), Qwen3 Coder Next: —

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
LMArena Longer Query1476—

Writing & Preference Not comparable

DeepSeek V4.1 Flash: 65.8 (#43), Qwen3 Coder Next: —

BenchmarkDeepSeek V4.1 FlashQwen3 Coder Next
LMArena Text1465—
LMArena Creative Writing1436—
EQ-Bench Creative Writing1540—
LMArena Multi-Turn1460—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen3 Coder Next?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 33.8 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen3 Coder Next?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.

Is DeepSeek V4.1 Flash or Qwen3 Coder Next better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 35.8 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and Qwen3 Coder Next share?

2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Qwen3 Coder Next has 3.

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